Paavan M.

About Paavan M.

Senior technology leader with 10+ years at Toyota, AWS, PwC, and GE, specializing in security, compliance, and scalable cloud infrastructure. I’ve built and led high-performing teams across engineering, Developer Advocacy, TPMs, and Solutions Architecture to deliver trusted services used by Fortune 500s, public sector agencies, and emerging startups.At AWS, I helped shape the security posture of core platforms like Amazon EKS, Fargate, and ECR—launching key initiatives including the CIS Benchmark for EKS, encryption at rest for container workloads, and runtime scanning integrations. My expertise spans Kubernetes, container runtimes, CI/CD pipelines, cryptography, and cloud-native threat modeling.I’m known for combining deep technical insight with a strong understanding of customer needs. I’ve worked directly with CISOs, regulators, and engineering leaders to build secure-by-default systems and drive cloud adoption in highly regulated industries.Currently, I\'m focused on how Agentic AI accelerates secure operations—developing diagnostic automations, codified runbooks, and governance frameworks for secure AI adoption.I lead high-impact programs at the intersection of infrastructure, security, and AI—where I can help organizations build trust, reduce risk, and scale with confidence.

Experience

1. Ai Security Leader

   Toyota Motor Corporation

   Aug 2025 — Present

   Spearheading Toyota\'s enterprise AI Security program with ownership over agentic AI governance, LLM security, and model integrity across cloud and on-prem environments — covering the full AI lifecycle from training through production deployment- Defined security architecture for NVIDIA H100-based model training environments, including threat modeling of distributed GPU clusters, training pipeline integrity controls, and model provenance tracking across large-scale deep learning workloads- Driving agentic AI risk frameworks covering autonomous agent orchestration, tool-use security, multi-agent trust boundaries, and MCP/API control planes at enterprise scale- Leading a team of AI Security Engineers and Architects delivering threat modeling, red teaming, and runtime protection across generative AI and foundation model deployments on AWS Bedrock and Amazon AgentCore- Partnering with cloud, MLOps, and research engineering to embed security into GPU-accelerated compute environments, including hardening inference infrastructure and securing model supply chain integrity.

Education

• University of Leeds

  MSc, Information Systems and Networking